Background and Context: Despite the increasing implementation of coding in early curricula, there are few valid and reliable assessments of coding abilities for young children. This impedes studying learning outcomes and the development and evaluation of curricula. Objective: Developing and validating a new instrument for assessing young…

The literature provides multiple measures of diversity along a single demographic dimension, but when it comes to studying the interaction of multiple diversity types (e.g. age, gender, and race), the field of useable measures diminishes. We present the use of decision trees as a machine learning technique to automatically identify the…

Contribution: Prior studies on tangible versus graphical user interfaces have reported controversial findings concerning children's preferences. This paper shows that their preference profiles in the domain of introductory programming are associated with gender and age for both interfaces. Background: The relevant literature mainly consists of…

In the fields of information technology and information systems, faculty must consistently adjust the curriculum to meet the demands of the field. However, a challenge they often face is understanding what should be covered, especially given the limited number of courses most universities are able to offer. This research is a biennial report of…

In recent years, the number of students who have chosen computer science related undergraduate departments has decreased rapidly. Moreover, students who prefer computer science and programming departments appear to be unsuccessful in programming classes due to the complexity and frustrating difficulties of programming learning. One of the…